Spectrum occupancy prediction using a hidden Markov model

Eltom, H, Sithamparanathan, K, Moran, W and Evans, R 2015, 'Spectrum occupancy prediction using a hidden Markov model', in Tadeusz A Wysocki and Beata J Wysocki (ed.) Proceedings of the 9th International Conference on Signal Processing and Communication Systems (ICSPCS 2015), Cairns, Australia, 14-16 December 2015, pp. 1-8.


Document type: Conference Paper
Collection: Conference Papers

Title Spectrum occupancy prediction using a hidden Markov model
Author(s) Eltom, H
Sithamparanathan, K
Moran, W
Evans, R
Year 2015
Conference name ICSPCS 2015
Conference location Cairns, Australia
Conference dates 14-16 December 2015
Proceedings title Proceedings of the 9th International Conference on Signal Processing and Communication Systems (ICSPCS 2015)
Editor(s) Tadeusz A Wysocki and Beata J Wysocki
Publisher IEEE
Place of publication United States
Start page 1
End page 8
Total pages 8
Abstract Spectrum occupancy prediction is a key enabler of agile, and proactive spectrum utilization in dynamic spectrum access networks. Bayesian-based techniques manifested by Hidden Markov Model provide powerful, and flexible tools for statistical spectrum prediction. In this paper, we simulate the performance of single step-ahead prediction, in terms of observation process errors, and state transition probability. We model the primary, and the secondary users shared spectrum channel as a two state hidden Markov model. Mean prediction error is calculated, and presented as a function of the model parameters.
Subjects Signal Processing
Wireless Communications
Electrical and Electronic Engineering not elsewhere classified
Keyword(s) HMM
Hidden Markov model
Spectrum occupancy
Cognitive radio
Spectrum prediction
DOI - identifier 10.1109/ICSPCS.2015.7391772
Copyright notice © 2015 IEEE
ISBN 9781467381185
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 91 Abstract Views  -  Detailed Statistics
Created: Fri, 18 Mar 2016, 12:39:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us